Rochester
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Buffalo 31-42-9, 71pts	2	FINAL	3	Vancouver 43-28-11, 97pts

Team Stats
L1	Séquence	W6
18-18-5	Fiche domicile	23-13-5
13-24-4	Fiche visiteur	20-15-6
2-7-1	Derniers 10 matchs	8-2-0
2.87	Buts par match	3.35
3.51	Buts contre par match	3.41
19.58%	Pourcentage en avantage numérique	24.30%
75.73%	Pourcentage en désavantage numérique	80.49%

Pittsburgh
34-44-4, 72pts

FINAL

Buffalo
31-42-9, 71pts

Team Stats
W1	Séquence	L1
16-23-2	Fiche domicile	18-18-5
18-21-2	Fiche visiteur	13-24-4
3-7-0	Derniers 10 matchs	2-7-1
3.22	Buts par match	2.87
3.55	Buts contre par match	3.51
20.98%	Pourcentage en avantage numérique	19.58%
77.74%	Pourcentage en désavantage numérique	75.73%

Meneurs d'équipe
	Buts Filip Chytil 25	Passes Josh Morrissey 51

	Points Josh Morrissey 75	Plus/Moins Josh Morrissey 4

	Victoires Petr Mrazek 19	Pourcentage d’arrêts Chris Driedger 0.918

Statistiques d’équipe
Buts pour 235 2.87 GFG	Tirs pour 2669 32.55 Avg	Pourcentage en avantage numérique 19.6% 56 GF	Début de zone offensive 39.3%
Buts contre 288 3.51 GAA	Tirs contre 2979 36.33 Avg	Pourcentage en désavantage numérique 75.7%% 75 GA	Début de la zone défensive 42.9%

Informations de l'équipe
	Directeur général	Yanick Morneau
	Entraîneur	Bill Peters
	Division	Atlantique
	Conférence	Conference Est
	Capitaine	Josh Morrissey
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	First Niagara Center
	Capacité	18,000
	Assistance	17,949
	Billets de saison	9,000
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	19
	Limite contact	41 / 50
	Espoirs	40
Plafond salarial
	Cap Salarial de la Saison estimé	57,275,670$
	Plafond salarial disponible	7,724,330$
	Valeur du plafond salarial spécial	2,375,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	66,711,550$
	Dépenses annuelles à ce jour	60,781,505$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	30,942,146$
	Compte bancaire projeté	30,930,742$
Historique d'équipe
	Saison actuelle	31-42-9 (71PTS)
	Historique	102-120-27 (0.410%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	0-4
	Coupe Stanley	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire moyen
1	Phillip Danault	X	X			100.00	84	32	87	75	85	90	93	73	91	71	75	71	80	60	56	54	50	0		0	29	4	2,500,000$
2	Adrian Kempe		X	X		100.00	78	34	97	86	86	91	99	75	73	72	78	67	94	50	48	67	50	0		0	25	3	2,800,000$
3	Filip Chytil	X	X	X		100.00	78	36	99	99	96	91	96	86	82	79	82	64	89	34	33	75	50	0		0	22	3	4,900,000$
4	Ondrej Kase			X		100.00	69	31	98	86	84	94	90	81	78	77	78	69	94	51	45	62	50	0		0	26	2	2,500,000$
5	Miikka Salomaki		X	X		100.00	68	33	87	76	75	74	92	66	72	65	67	63	76	54	49	41	50	0		0	29	1	750,000$
6	Ryan Strome	X		X		100.00	90	41	80	92	82	88	96	80	54	76	79	57	79	59	50	55	50	0	X	0	28	2	3,900,000$
7	Martin Frk		X	X		100.00	70	33	86	78	74	76	91	69	73	67	69	55	82	53	46	46	50	0		0	28	1	800,000$
8	Michael Bunting		X	X		100.00	85	27	80	80	76	84	88	73	70	73	74	65	75	53	52	65	50	0		0	26	2	1,550,000$
9	Lucas Lessio		X	X		100.00	68	32	81	68	89	76	88	65	69	65	65	65	69	51	53	33	50	0		0	29	1	700,000$
10	Jason Zucker		X	X		100.00	75	36	93	79	75	84	91	74	71	69	74	65	82	62	61	51	50	0		0	30	1	1,850,000$
11	Tobias Rieder		X	X		100.00	72	33	95	77	72	90	92	73	74	69	74	72	79	59	52	48	50	0		0	29	1	700,000$
12	Tomas Hertl	X	X			100.00	76	32	93	89	82	92	83	79	99	75	77	61	77	55	51	59	50	0		0	28	1	4,000,000$
13	Filip Hronek				X	100.00	82	49	67	99	82	99	90	69	55	69	62	87	80	45	44	76	50	0		0	24	4	3,900,000$
14	Derek Meech				X	100.00	59	25	87	44	76	64	88	48	27	45	43	86	73	78	66	17	50	0		0	38	3	750,000$
15	Jeff Petry				X	100.00	81	34	65	71	80	83	94	68	25	66	62	90	53	76	69	37	50	0		0	34	2	6,250,000$
16	Esa Lindell				X	100.00	78	33	67	76	99	99	99	56	51	58	52	92	72	59	54	65	50	0		0	28	1	3,000,000$
17	Josh Morrissey (C)				X	100.00	69	38	80	91	87	93	99	74	56	71	70	94	81	55	52	63	50	0		0	27	1	5,000,000$
18	Oliver Kylington				X	100.00	72	27	92	89	82	86	95	58	71	55	57	89	77	48	48	79	50	0		0	25	1	700,000$
Rayé
1	Max Willman	X	X			92.29	81	31	82	75	84	77	83	69	70	69	72	66	76	54	52	56	50	0		0	27	1	950,000$
2	Cam Fowler				X	100.00	64	32	85	86	84	93	93	77	50	73	67	95	78	62	59	54	50	0		0	30	2	4,400,000$
Équipe Mineure
1	Kevin Hayes	X	X			100.00	80	40	96	78	90	85	96	73	83	68	75	68	82	63	60	56	50	0	X	0	30	1	2,500,000$
2	Marcus Kruger	X	X	X		100.00	62	29	97	68	69	76	93	65	90	65	66	64	77	63	62	32	50	0		0	32	3	750,000$
3	Josh Norris	X				98.00	87	35	92	90	90	94	95	77	88	74	79	67	89	41	42	79	50	0	X	0	23	1	900,000$
4	Andrew Shaw	X		X		100.00	67	40	86	76	75	85	93	64	78	64	69	64	77	58	55	36	50	0		0	30	1	900,000$
5	Dominik Kahun		X	X		100.00	66	27	98	84	81	86	91	77	74	73	75	65	84	51	46	66	50	0		0	26	2	1,750,000$
6	Nick Merkley	X		X		100.00	74	31	92	83	79	79	88	79	76	72	74	64	81	44	41	62	50	0		0	25	1	1,100,000$
7	Sven Baertschi		X	X		100.00	69	28	99	84	79	86	89	73	73	70	71	64	80	58	47	53	50	0		0	29	1	850,000$
8	AJ Greer (R)		X			100.00	85	70	65	72	88	70	95	68	70	67	70	67	75	50	50	56	50	0		0	23	1	500,000$
9	Gabriel Vilardi (R)	X		X		100.00	74	30	94	78	90	83	89	76	82	72	77	65	85	42	42	79	50	0		0	22	2	900,000$
10	Ilya Lyubushkin				X	97.00	88	32	69	76	85	84	87	51	50	55	48	93	76	59	59	49	50	0		0	28	1	975,000$
11	Julian Melchiori				X	100.00	72	37	68	62	97	82	90	49	50	50	48	86	77	58	58	42	50	0		0	30	2	825,000$
12	Dan Girardi				X	100.00	69	30	80	49	87	73	85	49	50	49	48	86	73	91	99	1	50	0		0	38	2	750,000$
13	Martin Marincin				X	100.00	74	31	76	69	95	79	85	48	50	50	45	93	72	67	63	37	50	0		0	30	2	1,100,000$
14	Brendan Guhle				X	100.00	70	27	95	86	88	81	72	40	70	39	41	81	76	49	47	53	50	0		0	24	2	500,000$
15	Owen Power (R)				X	100.00	76	25	88	84	94	94	95	57	50	65	49	90	77	29	29	89	50	0		0	19	3	900,000$
16	Dakota Joshua (R)	X	X	X		96.00	93	50	81	71	87	75	96	73	70	73	72	74	75	53	53	60	50	0		0	26	1	500,000$
17	Lucas Raymond			X		96.00	83	27	98	98	82	91	95	85	73	79	82	61	94	32	30	90	50	0		0	20	2	900,000$

	MOYENNE D’ÉQUIPE					99.60	75	33	85	81	83	86	92	71	66	68	69	74	78	56	52	55	50	0

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Chris Driedger	100.00	65	79	80	80	75	82	85	81	82	80	80	59	59	50	50	0	0	28	2	1,000,000$
2	Petr Mrazek	100.00	70	91	84	76	77	87	87	88	88	79	78	62	61	66	50	0	0	30	3	2,700,000$
Rayé
Équipe Mineure
1	Scott Darling	97.00	57	93	81	87	74	88	86	82	81	80	76	69	69	53	50	0	0	33	2	750,000$
2	Stuart Skinner (R)	100.00	68	98	90	84	76	87	87	87	87	80	70	42	42	82	50	0	0	23	2	500,000$

	MOYENNE D’ÉQUIPE	100.00	68	85	82	78	76	85	86	85	85	80	79	61	60	58	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bill Peters	90	86	81	82	94	98	76	CAN	57	3	2,400,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Josh Morrissey	Buffalo	D	82	24	51	75	4	47	5	60	90	213	98	144	11.27%	159	1920	23.42	12	13	25	110	247	0	1	1	1	236	3	4	0%	0	0	0	0.78	0	0	0	1	0	6	4	3
2	Filip Chytil	Buffalo	C/LW/RW	67	25	37	62	3	30	10	60	103	203	66	141	12.32%	5	1239	18.51	5	11	16	35	173	0	0	0	6	125	5	2	47.53%	1273	0	0	1.00	0	3	1	0	1	5	5	2
3	Lucas Raymond	Rochester (BUF)	RW	72	24	30	54	9	28	0	80	71	233	63	176	10.30%	8	1444	20.07	8	9	17	44	215	1	0	1	4	170	3	0	39.90%	193	1	0	0.75	0	4	0	0	0	3	3	4
4	Ryan Strome	Buffalo	C/RW	82	25	28	53	-3	56	10	170	106	177	51	125	14.12%	16	1509	18.41	4	12	16	30	234	1	1	2	3	158	4	1	38.41%	1505	0	0	0.70	0	3	0	1	1	2	5	4
5	Cam Fowler	Buffalo	D	69	9	42	51	-3	33	5	52	88	147	59	103	6.12%	129	1566	22.70	5	17	22	78	214	0	1	1	2	193	1	1	0%	0	0	0	0.65	0	0	0	0	1	2	3	2
6	Filip Hronek	Buffalo	D	82	13	38	51	-18	117	15	182	88	142	53	94	9.15%	129	1760	21.46	7	12	19	76	243	0	0	0	1	151	2	0	0%	0	0	0	0.58	0	0	0	0	3	0	4	3
7	Tomas Hertl	Buffalo	C/LW	79	14	25	39	2	20	0	59	97	186	53	98	7.53%	9	1449	18.35	3	9	12	48	235	0	0	0	2	61	2	2	54.57%	645	0	1	0.54	1	2	0	0	0	2	0	2
8	Ondrej Kase	Buffalo	RW	82	12	24	36	-24	4	0	20	88	222	70	174	5.41%	10	1542	18.81	1	7	8	27	174	1	1	2	12	251	1	1	46.23%	504	0	0	0.47	0	5	0	0	0	0	0	1
9	Phillip Danault	Buffalo	C/LW	82	9	19	28	-15	39	5	80	90	146	39	115	6.16%	18	1172	14.30	0	4	4	23	93	0	0	0	1	50	0	0	52.70%	1220	0	0	0.48	0	0	0	0	1	0	1	2
10	Jeff Petry	Buffalo	D	70	9	17	26	-10	76	0	134	54	78	19	71	11.54%	111	1368	19.55	1	5	6	31	131	0	0	0	0	169	3	1	0%	0	0	0	0.38	0	0	0	0	0	4	0	1
11	Esa Lindell	Buffalo	D	82	8	18	26	4	63	5	87	71	75	25	52	10.67%	111	1494	18.23	0	4	4	19	89	0	0	0	2	193	1	0	0%	0	0	0	0.35	0	0	0	0	1	2	1	0
12	Oliver Kylington	Buffalo	D	82	2	22	24	-11	30	0	48	54	93	28	59	2.15%	122	1394	17.01	1	1	2	9	59	0	1	1	2	117	0	0	0%	0	0	0	0.34	0	0	0	0	0	0	1	0
13	Adrian Kempe	Buffalo	LW/RW	67	13	10	23	-10	10	0	37	62	141	28	76	9.22%	8	876	13.09	2	3	5	16	88	0	0	0	1	45	0	1	46.23%	106	0	1	0.52	1	1	0	0	0	1	0	1
14	Nick Merkley	Rochester (BUF)	C/RW	72	12	10	22	-4	14	0	39	53	120	35	79	10.00%	3	749	10.41	0	0	0	0	0	0	0	0	0	0	1	0	45.23%	241	0	0	0.59	0	0	0	0	0	1	0	3
15	Dakota Joshua	Rochester (BUF)	C/LW/RW	74	12	10	22	-5	50	10	148	56	119	40	96	10.08%	7	1155	15.61	3	2	5	20	163	0	0	0	2	84	2	0	45.10%	306	0	0	0.38	0	0	1	0	0	2	0	2
16	Kevin Hayes	Rochester (BUF)	C/LW	50	7	8	15	0	17	5	18	33	57	18	37	12.28%	4	533	10.68	0	0	0	0	2	0	0	0	0	6	3	0	50.00%	474	0	0	0.56	0	0	0	0	1	0	0	0
17	Michael Bunting	Buffalo	LW/RW	82	4	8	12	-22	38	0	71	39	113	37	83	3.54%	7	856	10.44	1	0	1	9	32	0	0	0	0	5	0	0	37.80%	127	0	0	0.28	0	0	0	0	0	0	0	0
18	Josh Norris	Rochester (BUF)	C	25	4	7	11	-7	0	0	23	38	62	11	42	6.45%	0	386	15.46	1	1	2	10	47	0	0	0	1	16	0	0	54.13%	484	0	0	0.57	0	0	0	0	0	0	0	1
19	Owen Power	Rochester (BUF)	D	39	2	9	11	-15	28	0	47	23	31	8	20	6.45%	64	743	19.06	1	0	1	9	53	0	0	0	0	67	0	1	0%	0	0	0	0.30	0	0	0	0	0	0	0	0
20	Sven Baertschi	Rochester (BUF)	LW/RW	31	5	2	7	1	0	0	3	17	38	9	37	13.16%	1	285	9.22	0	0	0	0	0	0	0	0	0	0	0	0	90.00%	10	0	0	0.49	0	0	0	0	0	0	0	0
21	Tobias Rieder	Buffalo	LW/RW	34	4	3	7	-2	8	0	13	9	29	10	28	13.79%	1	298	8.77	0	0	0	0	0	0	0	0	0	3	0	0	61.11%	18	0	0	0.47	0	0	0	0	0	0	1	0
22	Jason Zucker	Buffalo	LW/RW	43	3	3	6	0	10	0	17	17	40	8	38	7.50%	1	314	7.32	0	0	0	0	0	0	0	0	0	0	0	0	45.83%	24	0	0	0.38	0	1	0	0	0	0	0	1
23	Dan Girardi	Rochester (BUF)	D	8	1	2	3	0	4	0	9	3	7	3	8	14.29%	10	114	14.35	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0.52	0	0	0	0	0	0	1	0
24	Andrew Shaw	Rochester (BUF)	C/RW	21	0	2	2	0	0	0	2	15	16	2	12	0%	3	189	9.04	0	0	0	0	0	0	0	0	2	31	0	0	46.64%	223	0	0	0.21	0	0	0	0	0	0	0	0
25	Max Willman	Buffalo	C/LW	9	1	1	2	2	2	0	9	16	6	2	12	16.67%	1	96	10.74	0	0	0	0	0	0	0	0	0	0	0	0	43.21%	81	0	0	0.41	0	0	0	0	0	0	0	1
26	Gabriel Vilardi	Rochester (BUF)	C/RW	10	0	2	2	-2	0	0	1	8	9	3	5	0%	0	84	8.41	0	0	0	0	0	0	0	0	0	0	0	0	51.81%	83	0	0	0.48	0	0	0	0	0	0	0	0
27	Ilya Lyubushkin	Rochester (BUF)	D	1	0	1	1	0	0	0	1	1	1	0	1	0%	1	14	14.92	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	1.34	0	0	0	0	0	0	0	0
28	Julian Melchiori	Rochester (BUF)	D	3	1	0	1	0	2	0	4	3	2	0	3	50.00%	5	45	15.17	0	0	0	0	0	0	0	0	0	5	0	0	0%	0	0	0	0.44	0	0	0	0	0	0	0	0
29	Dominik Kahun	Rochester (BUF)	LW/RW	3	0	1	1	-1	0	0	0	0	3	0	2	0%	1	18	6.12	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	0	0	1.09	0	0	0	0	0	0	0	0
30	Derek Meech	Buffalo	D	6	0	0	0	-2	2	0	3	0	7	3	1	0%	2	85	14.32	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
31	Miikka Salomaki	Buffalo	LW/RW	9	0	0	0	-1	0	0	4	8	4	1	4	0%	0	49	5.52	0	0	0	0	1	0	0	0	0	0	0	0	34.15%	41	0	0	0	0	0	0	0	0	0	0	0
32	Martin Frk	Buffalo	LW/RW	9	0	0	0	-3	0	0	3	2	5	2	3	0%	0	42	4.77	0	0	0	0	0	0	0	0	0	0	0	0	16.67%	6	0	0	0	0	0	0	0	0	0	0	0
33	Lucas Lessio	Buffalo	LW/RW	9	0	0	0	-3	0	0	8	3	1	0	6	0%	0	42	4.71	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1536	243	430	673	-136	728	70	1492	1406	2726	844	1945	8.91%	946	24849	16.18	55	110	165	594	2503	3	5	8	42	2149	31	14	47.05%	7566	1	2	0.54	2	19	2	2	9	30	29	33

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Petr Mrazek	Buffalo	54	19	28	6	0.907	3.25	3197	4	2	173	1867	3	1	0.615	13	53	25	4	6	0
2	Chris Driedger	Buffalo	16	6	7	1	0.918	3.02	915	2	0	46	561	1	1	0.667	3	14	50	2	1	1
3	Stuart Skinner	Rochester (BUF)	15	5	7	2	0.888	4.25	790	4	0	56	502	1	0	0.667	3	14	7	2	0	0
4	Scott Darling	Rochester (BUF)	1	1	0	0	0.872	6.00	60	0	0	6	47	0	0	0	0	1	0	0	0	0
Statistiques d’équipe totales ou en moyenne			86	31	42	9	0.906	3.40	4962	10	2	281	2977	5	2		19	82	82	8	7	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Lien
Adrian Kempe (contrat à 1 volet)	Buffalo	LW/RW	25	1996-09-13	No	203 Lbs	6 ft2	No	No	Yes	Yes	3	Pro & Farm	2,800,000$	2,800,000$	0$	No	2,800,000$	2,800,000$		Lien
Cam Fowler (contrat à 1 volet)	Buffalo	D	30	1991-12-05	No	216 Lbs	6 ft1	No	No	Yes	Yes	2	Pro & Farm	4,400,000$	4,400,000$	0$	No	4,400,000$			Lien
Chris Driedger (contrat à 1 volet)	Buffalo	G	28	1994-05-18 08:11:13	No	208 Lbs	6 ft4	No	No	Yes	Yes	2	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,000,000$			Lien
Derek Meech	Buffalo	D	38	1984-04-21	No	210 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$
Esa Lindell (contrat à 1 volet)	Buffalo	D	28	1994-05-23	No	219 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	3,000,000$	3,000,000$	0$	No				Lien
Filip Chytil (contrat à 1 volet)	Buffalo	C/LW/RW	22	1999-09-05	No	213 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	4,900,000$	4,900,000$	0$	No	4,900,000$	4,900,000$		Lien
Filip Hronek (contrat à 1 volet)	Buffalo	D	24	1997-11-02	No	173 Lbs	6 ft0	No	No	Yes	Yes	4	Pro & Farm	3,900,000$	3,900,000$	0$	No	3,900,000$	3,900,000$	3,900,000$	Lien
Jason Zucker (contrat à 1 volet)	Buffalo	LW/RW	30	1992-01-16	No	192 Lbs	5 ft11	No	No	Yes	Yes	1	Pro & Farm	1,850,000$	1,850,000$	0$	No				Lien
Jeff Petry (contrat à 1 volet)	Buffalo	D	34	1987-12-09	No	207 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	6,250,000$	6,250,000$	0$	No	6,250,000$			Lien
Josh Morrissey (contrat à 1 volet)	Buffalo	D	27	1995-03-28	No	200 Lbs	6 ft0	No	No	Yes	Yes	1	Pro & Farm	5,000,000$	5,000,000$	0$	No				Lien
Lucas Lessio	Buffalo	LW/RW	29	1993-01-23	No	217 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No				Lien
Martin Frk	Buffalo	LW/RW	28	1993-10-05	No	212 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	No				Lien
Max Willman (sur la masse salariale)	Buffalo	C/LW	27	1995-02-13 08:44:40	No	198 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	950,000$	0$	0$	Yes
Michael Bunting (contrat à 1 volet)	Buffalo	LW/RW	26	1995-09-17 08:57:27	No	197 Lbs	5 ft11	No	No	Yes	Yes	2	Pro & Farm	1,550,000$	1,550,000$	0$	No	1,550,000$			Lien
Miikka Salomaki	Buffalo	LW/RW	29	1993-03-09	No	211 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No				Lien
Oliver Kylington	Buffalo	D	25	1997-05-19 03:13:50	No	183 Lbs	6 ft0	No	No	No	Yes	1	Pro & Farm	700,000$	700,000$	0$	No
Ondrej Kase (contrat à 1 volet)	Buffalo	RW	26	1995-11-08	No	190 Lbs	5 ft11	No	No	Yes	Yes	2	Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$			Lien
Petr Mrazek (contrat à 1 volet)	Buffalo	G	30	1992-02-14 06:34:29	No	191 Lbs	6 ft2	No	No	Yes	Yes	3	Pro & Farm	2,700,000$	2,700,000$	0$	No	2,700,000$	2,700,000$		Lien
Phillip Danault (contrat à 1 volet)	Buffalo	C/LW	29	1993-02-24	No	201 Lbs	6 ft1	No	No	Yes	Yes	4	Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$	2,500,000$	2,500,000$	Lien
Ryan Strome (contrat à 1 volet)	Buffalo	C/RW	28	1993-07-11	No	205 Lbs	6 ft1	No	Yes	Yes	Yes	2	Pro & Farm	3,900,000$	3,900,000$	0$	No	3,900,000$			Lien
Tobias Rieder (contrat à 1 volet)	Buffalo	LW/RW	29	1993-01-10	No	196 Lbs	5 ft11	No	No	Yes	Yes	1	Pro & Farm	700,000$	700,000$	0$	No				Lien
Tomas Hertl (contrat à 1 volet)	Buffalo	C/LW	28	1993-11-12	No	219 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	4,000,000$	4,000,000$	0$	No				Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	28.18	203 Lbs	6 ft1	1.91	2,527,273$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
55,600,000$	37,150,000$	17,550,000$	6,400,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Tomas Hertl	Ryan Strome	Ondrej Kase	35	1	2	2
2	Adrian Kempe	Phillip Danault	Michael Bunting	30	1	2	2
3	Jason Zucker		Tobias Rieder	25	1	2	2
4	Martin Frk	Miikka Salomaki	Lucas Lessio	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Filip Hronek	35	1	2	2
2	Jeff Petry	Esa Lindell	35	1	2	2
3	Derek Meech	Oliver Kylington	30	1	2	2
4	Josh Morrissey	Filip Hronek	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Tomas Hertl	Ryan Strome	Ondrej Kase	50	1	2	2
2	Adrian Kempe	Phillip Danault	Michael Bunting	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Filip Hronek	50	1	2	2
2	Jeff Petry	Esa Lindell	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ondrej Kase	Ryan Strome	50	1	2	2
2	Tomas Hertl	Adrian Kempe	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Filip Hronek	50	1	2	2
2	Jeff Petry	Esa Lindell	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Ondrej Kase	50	1	2	2	Josh Morrissey	Filip Hronek	50	1	2	2
2	Ryan Strome	50	1	2	2	Jeff Petry	Esa Lindell	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ondrej Kase	Ryan Strome	50	1	2	2
2	Tomas Hertl	Adrian Kempe	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Josh Morrissey	Filip Hronek	50	1	2	2
2	Jeff Petry	Esa Lindell	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Hertl	Ryan Strome	Ondrej Kase	Josh Morrissey	Filip Hronek

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Hertl	Ryan Strome	Ondrej Kase	Josh Morrissey	Filip Hronek

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Miikka Salomaki, Jason Zucker, Tobias Rieder	Miikka Salomaki, Jason Zucker	Tobias Rieder

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Derek Meech, Oliver Kylington, Jeff Petry	Derek Meech	Oliver Kylington, Jeff Petry

Tirs de pénalité
Ondrej Kase, Ryan Strome, Tomas Hertl, Adrian Kempe, Phillip Danault

Gardien
#1 : Chris Driedger, #2 : Petr Mrazek

Lignes d’attaque personnalisées en prolongation
Ondrej Kase, Ryan Strome, Tomas Hertl, Adrian Kempe, Phillip Danault, Michael Bunting, Michael Bunting, Jason Zucker, Tobias Rieder, , Martin Frk

Lignes de défense personnalisées en prolongation
Josh Morrissey, Filip Hronek, Jeff Petry, Esa Lindell, Derek Meech

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim	4	1	3	0	0	0	0	0	16	18	-2	2	1	1	0	0	0	0	0	9	8	1	2	0	2	0	0	0	0	0	7	10	-3	2	0.250	16	30	46	0	0	3	9	4	0	143	48	52	43	0	137	40	27	69	10	4	40.00%	10	3	70.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	99	71	90	26	50	25
2	Boston	6	1	4	0	0	1	0	0	15	23	-8	3	1	1	0	0	1	0	0	12	9	3	3	0	3	0	0	0	0	0	3	14	-11	3	0.250	15	25	40	1	0	5	7	3	0	187	68	56	62	1	241	69	59	103	14	2	14.29%	25	6	76.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	134	93	154	45	74	35
3	Chicago	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	8	13	0	0	1	1	2	1	69	26	20	22	1	64	25	27	25	7	1	14.29%	6	3	50.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	46	31	49	14	24	12
4	Colorado	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	0	1	1	0	65	17	21	27	0	59	11	18	31	5	0	0.00%	8	3	62.50%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	53	39	42	13	24	12
5	Columbus	4	2	1	0	0	0	0	1	16	16	0	2	1	0	0	0	0	0	1	8	7	1	2	1	1	0	0	0	0	0	8	9	-1	5	0.625	16	30	46	0	0	6	7	3	0	134	51	41	36	9	143	43	14	70	19	2	10.53%	6	3	50.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	92	64	99	30	53	26
6	Dallas	2	0	1	0	0	1	0	0	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	6	10	16	0	0	1	2	3	0	64	31	17	16	0	73	22	23	35	8	0	0.00%	9	3	66.67%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	45	32	49	14	25	12
7	Detroit	6	2	2	0	2	0	0	0	21	20	1	3	2	0	0	1	0	0	0	17	11	6	3	0	2	0	1	0	0	0	4	9	-5	8	0.667	21	39	60	0	0	6	7	6	2	214	79	56	72	7	204	67	56	114	24	5	20.83%	27	5	81.48%	1	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	136	92	154	44	75	37
8	Edmonton	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	14	22	0	0	0	5	3	0	63	12	34	17	0	70	25	19	29	12	5	41.67%	7	2	71.43%	1	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	45	30	48	15	25	13
9	Floride	6	3	3	0	0	0	0	0	18	22	-4	3	2	1	0	0	0	0	0	8	5	3	3	1	2	0	0	0	0	0	10	17	-7	6	0.500	18	31	49	0	1	8	5	5	0	229	88	67	74	0	228	78	44	113	17	5	29.41%	22	4	81.82%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	137	96	147	43	74	37
10	LosAngeles	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	6	10	0	0	0	1	3	0	81	27	21	33	0	67	12	8	26	6	0	0.00%	4	1	75.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	49	35	45	14	24	12
11	Minnesota	4	3	0	0	1	0	0	0	15	10	5	2	1	0	0	1	0	0	0	7	5	2	2	2	0	0	0	0	0	0	8	5	3	8	1.000	15	28	43	0	0	3	5	6	1	132	49	33	45	5	139	37	28	82	11	5	45.45%	13	2	84.62%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	94	63	97	26	50	26
12	Montreal	6	0	5	0	0	1	0	0	14	27	-13	3	0	2	0	0	1	0	0	8	12	-4	3	0	3	0	0	0	0	0	6	15	-9	1	0.083	14	25	39	0	0	6	3	5	0	160	42	50	64	4	225	70	59	100	27	4	14.81%	27	4	85.19%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	135	91	150	45	78	37
13	NYIslanders	4	3	1	0	0	0	0	0	12	13	-1	2	2	0	0	0	0	0	0	8	4	4	2	1	1	0	0	0	0	0	4	9	-5	6	0.750	12	23	35	0	0	5	2	5	0	119	48	30	41	0	169	45	40	81	14	6	42.86%	19	6	68.42%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	94	65	97	28	48	23
14	NYRangers	4	0	4	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	4	7	-3	0	0.000	7	13	20	0	0	4	0	3	0	115	39	30	46	0	112	45	53	72	11	1	9.09%	18	4	77.78%	1	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	91	62	97	29	51	25
15	Philadelphie	4	0	3	0	1	0	0	0	10	15	-5	2	0	2	0	0	0	0	0	5	9	-4	2	0	1	0	1	0	0	0	5	6	-1	2	0.250	10	18	28	1	0	3	4	2	1	118	36	35	42	5	153	48	34	58	16	1	6.25%	15	5	66.67%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	90	61	101	29	52	27
16	Pittsburgh	4	3	1	0	0	0	0	0	14	11	3	2	1	1	0	0	0	0	0	6	6	0	2	2	0	0	0	0	0	0	8	5	3	6	0.750	14	26	40	0	0	3	7	4	0	139	57	46	36	0	108	31	40	71	11	3	27.27%	17	4	76.47%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	97	66	91	29	51	26
17	San Jose	2	0	1	0	0	0	0	1	4	6	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	1	0.250	4	6	10	0	0	1	1	2	0	61	19	18	18	9	87	22	14	30	8	1	12.50%	6	0	100.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	49	33	49	14	26	14
18	Seattle	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	4	7	11	0	0	0	2	2	0	66	23	24	19	0	104	39	19	50	7	0	0.00%	7	2	71.43%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	42	28	55	14	22	10
19	St. Louis	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	2	1	1	4	1.000	5	10	15	0	0	2	3	0	0	71	22	20	29	0	54	14	14	31	11	3	27.27%	6	1	83.33%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	49	33	44	16	26	13
20	Tampa Bay	6	2	3	0	0	1	0	0	17	19	-2	3	1	2	0	0	0	0	0	7	10	-3	3	1	1	0	0	1	0	0	10	9	1	5	0.417	17	30	47	0	1	5	7	5	0	202	77	66	59	0	208	68	60	117	17	4	23.53%	25	8	68.00%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	146	102	140	42	73	36
21	Vancouver	2	0	0	0	0	0	0	2	5	7	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	2	3	-1	2	0.500	5	9	14	0	0	3	1	1	0	44	16	11	16	7	69	29	26	38	6	2	33.33%	11	2	81.82%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	43	28	57	15	28	14
22	Washington	4	1	3	0	0	0	0	0	11	19	-8	2	1	1	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	2	8	-6	2	0.250	11	20	31	0	0	3	5	3	0	134	32	55	47	0	166	36	38	73	17	2	11.76%	14	3	78.57%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	95	65	96	29	48	24
23	Winnipeg	2	0	1	0	0	0	0	1	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	6	11	17	0	0	2	3	1	2	59	22	14	20	10	99	22	16	39	8	0	0.00%	7	1	85.71%	0	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	45	30	52	16	27	13
	Total	82	26	42	0	5	4	0	5	235	288	-53	41	15	18	0	3	2	0	3	131	135	-4	41	11	24	0	2	2	0	2	104	153	-49	71	0.433	235	423	658	2	2	70	88	72	7	2669	929	817	884	58	2979	898	736	1457	286	56	19.58%	309	75	75.73%	3	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	1917	1320	2010	600	1038	519
	_Since Last GM Reset	82	26	42	0	5	4	0	5	235	288	-53	41	15	18	0	3	2	0	3	131	135	-4	41	11	24	0	2	2	0	2	104	153	-49	71	0.433	235	423	658	2	2	70	88	72	7	2669	929	817	884	58	2979	898	736	1457	286	56	19.58%	309	75	75.73%	3	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	1917	1320	2010	600	1038	519
	_Vs Conference	54	17	30	0	3	3	0	1	155	199	-44	27	11	12	0	1	2	0	1	91	91	0	27	6	18	0	2	1	0	0	64	108	-44	44	0.407	155	280	435	2	2	54	54	44	3	1751	617	532	579	26	1957	600	497	972	187	35	18.72%	215	52	75.81%	2	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	1251	861	1328	397	681	338
	_Vs Division	30	8	17	0	2	3	0	0	85	111	-26	15	6	6	0	1	2	0	0	52	47	5	15	2	11	0	1	1	0	0	33	64	-31	23	0.383	85	150	235	1	2	30	29	24	2	992	354	295	331	12	1106	352	278	547	99	20	20.20%	126	27	78.57%	1	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	690	476	746	221	376	184

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
82	71	L1	235	423	658	2669	2979	898	736	1457	2	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	26	42	5	4	0	5	235	288

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	18	3	2	0	3	131	135

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	11	24	2	2	0	2	104	153

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	7	0	0	0	1

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
286	56	19.58%	309	75	75.73%	3

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
929	817	884	58	70	88	72	7

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1917	1320	2010	600	1038	519

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
2	9	Detroit	3	Buffalo	5	BW			Sommaire du match
3	21	Buffalo	0	Boston	3	AL			Sommaire du match
5	30	Buffalo	0	Detroit	2	AL			Sommaire du match
7	45	Detroit	4	Buffalo	5	BW	X		Sommaire du match
9	56	Columbus	6	Buffalo	5	BL	X	X	Sommaire du match
11	68	Buffalo	1	Detroit	5	AL			Sommaire du match
13	80	NYIslanders	2	Buffalo	4	BW			Sommaire du match
15	94	Buffalo	3	Detroit	2	AW	X		Sommaire du match
17	103	Buffalo	6	Tampa Bay	0	AW			Sommaire du match
19	116	Minnesota	2	Buffalo	3	BW			Sommaire du match
21	129	Philadelphie	6	Buffalo	4	BL			Sommaire du match
24	145	Buffalo	1	Boston	7	AL			Sommaire du match
25	148	Buffalo	1	Floride	9	AL			Sommaire du match
27	164	Montreal	4	Buffalo	3	BL			Sommaire du match
29	177	Montreal	5	Buffalo	4	BL	X		Sommaire du match
31	187	Buffalo	3	Montreal	6	AL			Sommaire du match
33	201	Buffalo	1	Washington	4	AL			Sommaire du match
35	212	Edmonton	1	Buffalo	3	BW			Sommaire du match
37	225	Detroit	4	Buffalo	7	BW			Sommaire du match
39	235	Buffalo	3	LosAngeles	2	AW			Sommaire du match
42	251	Buffalo	1	Washington	4	AL			Sommaire du match
43	258	Winnipeg	4	Buffalo	3	BL			Sommaire du match
45	272	Buffalo	2	St. Louis	1	AW			Sommaire du match
47	281	Boston	4	Buffalo	3	BL	X		Sommaire du match
50	299	Anaheim	4	Buffalo	2	BL			Sommaire du match
52	313	Buffalo	3	Minnesota	2	AW			Sommaire du match
53	322	Boston	1	Buffalo	7	BW			Sommaire du match
55	336	Washington	2	Buffalo	5	BW			Sommaire du match
57	348	Buffalo	3	Anaheim	5	AL			Sommaire du match
60	362	Floride	4	Buffalo	2	BL			Sommaire du match
62	378	Buffalo	5	Floride	2	AW			Sommaire du match
64	386	Floride	0	Buffalo	2	BW			Sommaire du match
66	403	Buffalo	3	NYRangers	4	AL			Sommaire du match
68	411	Tampa Bay	2	Buffalo	3	BW			Sommaire du match
70	428	Buffalo	1	NYRangers	3	AL			Sommaire du match
71	435	Floride	1	Buffalo	4	BW			Sommaire du match
74	451	Buffalo	3	Pittsburgh	1	AW			Sommaire du match
75	460	Vancouver	4	Buffalo	3	BL	X	X	Sommaire du match
78	476	Buffalo	2	Boston	4	AL			Sommaire du match
79	484	Philadelphie	3	Buffalo	1	BL			Sommaire du match
82	501	Buffalo	4	Anaheim	5	AL			Sommaire du match
83	509	St. Louis	2	Buffalo	3	BW			Sommaire du match
85	522	Buffalo	4	Dallas	5	AL	X		Sommaire du match
87	532	NYRangers	3	Buffalo	1	BL			Sommaire du match
89	545	Buffalo	1	Colorado	3	AL			Sommaire du match
91	556	Columbus	1	Buffalo	3	BW			Sommaire du match
92	567	Buffalo	2	San Jose	3	AL			Sommaire du match
94	581	Anaheim	4	Buffalo	7	BW			Sommaire du match
96	591	Buffalo	1	Columbus	3	AL			Sommaire du match
98	601	Buffalo	5	Minnesota	3	AW			Sommaire du match
100	610	Minnesota	3	Buffalo	4	BW	X		Sommaire du match
102	626	Buffalo	1	NYIslanders	8	AL			Sommaire du match
103	633	Boston	4	Buffalo	2	BL			Sommaire du match
106	648	Buffalo	4	Floride	6	AL			Sommaire du match
107	658	NYIslanders	2	Buffalo	4	BW			Sommaire du match
110	675	Chicago	3	Buffalo	4	BW	X		Sommaire du match
111	684	Buffalo	2	Tampa Bay	6	AL			Sommaire du match
113	696	Buffalo	3	Winnipeg	4	AL	X	X	Sommaire du match
115	703	Tampa Bay	5	Buffalo	2	BL			Sommaire du match
116	716	Buffalo	2	Tampa Bay	3	AL	X		Sommaire du match
117	724	Buffalo	5	Edmonton	3	AW			Sommaire du match
119	737	Washington	9	Buffalo	4	BL			Sommaire du match
121	748	Buffalo	1	Chicago	3	AL			Sommaire du match
123	761	Tampa Bay	3	Buffalo	2	BL			Sommaire du match
124	770	Buffalo	1	Philadelphie	3	AL			Sommaire du match
126	782	Colorado	4	Buffalo	1	BL			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129	792	Buffalo	3	NYIslanders	1	AW			Sommaire du match
131	804	Buffalo	4	Philadelphie	3	AW	X		Sommaire du match
132	813	Montreal	3	Buffalo	1	BL			Sommaire du match
135	829	Buffalo	5	Pittsburgh	4	AW			Sommaire du match
137	839	San Jose	3	Buffalo	2	BL	X	X	Sommaire du match
139	851	Buffalo	1	Montreal	4	AL			Sommaire du match
141	861	NYRangers	4	Buffalo	2	BL			Sommaire du match
143	875	Buffalo	2	Montreal	5	AL			Sommaire du match
144	884	Dallas	4	Buffalo	2	BL			Sommaire du match
146	895	Buffalo	7	Columbus	6	AW			Sommaire du match
148	903	Buffalo	2	Seattle	3	AL			Sommaire du match
150	911	Seattle	4	Buffalo	2	BL			Sommaire du match
153	930	LosAngeles	2	Buffalo	1	BL			Sommaire du match
158	953	Pittsburgh	2	Buffalo	4	BW			Sommaire du match
159	959	Buffalo	2	Vancouver	3	AL	X	X	Sommaire du match
163	979	Pittsburgh	4	Buffalo	2	BL			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	87	62	42	32	165
Assistance	244,762	205,000	82,000	163,264	40,868
Attendance PCT	99.50%	100.00%	100.00%	99.55%	99.68%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	17949 - 99.71%	1,627,111$	66,711,550$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
60,781,505$	58,950,000$	58,950,000$	0$	2,375,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
331,415$	54,900,670$	0$	23	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	371,818$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
11,404$	30,942,146$	30,930,742$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
57,275,670$	7,724,330$	65,000,000$	17,275,670$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Filip Chytil	AGE:22	PO:75	OV:0
Adrian Kempe	AGE:25	PO:67	OV:0
Dominik Kahun	AGE:26	PO:66	OV:0
Michael Bunting	AGE:26	PO:65	OV:0
Dakota Joshua (R)	AGE:26	PO:60	OV:0
Tomas Hertl	AGE:28	PO:59	OV:0
Kevin Hayes	AGE:30	PO:56	OV:0
Max Willman	AGE:27	PO:56	OV:0
AJ Greer (R)	AGE:23	PO:56	OV:0
Phillip Danault	AGE:29	PO:54	OV:0
Sven Baertschi	AGE:29	PO:53	OV:0
Jason Zucker	AGE:30	PO:51	OV:0
Tobias Rieder	AGE:29	PO:48	OV:0
Martin Frk	AGE:28	PO:46	OV:0
Miikka Salomaki	AGE:29	PO:41	OV:0
Lucas Lessio	AGE:29	PO:33	OV:0
Marcus Kruger	AGE:32	PO:32	OV:0

Josh Norris	AGE:23	PO:79	OV:0
Gabriel Vilardi (R)	AGE:22	PO:79	OV:0
Filip Chytil	AGE:22	PO:75	OV:0
Nick Merkley	AGE:25	PO:62	OV:0
Dakota Joshua (R)	AGE:26	PO:60	OV:0
Tomas Hertl	AGE:28	PO:59	OV:0
Kevin Hayes	AGE:30	PO:56	OV:0
Max Willman	AGE:27	PO:56	OV:0
Ryan Strome	AGE:28	PO:55	OV:0
Phillip Danault	AGE:29	PO:54	OV:0
Andrew Shaw	AGE:30	PO:36	OV:0
Marcus Kruger	AGE:32	PO:32	OV:0

Lucas Raymond	AGE:20	PO:90	OV:0
Gabriel Vilardi (R)	AGE:22	PO:79	OV:0
Filip Chytil	AGE:22	PO:75	OV:0
Adrian Kempe	AGE:25	PO:67	OV:0
Dominik Kahun	AGE:26	PO:66	OV:0
Michael Bunting	AGE:26	PO:65	OV:0
Ondrej Kase	AGE:26	PO:62	OV:0
Nick Merkley	AGE:25	PO:62	OV:0
Dakota Joshua (R)	AGE:26	PO:60	OV:0
Ryan Strome	AGE:28	PO:55	OV:0
Sven Baertschi	AGE:29	PO:53	OV:0
Jason Zucker	AGE:30	PO:51	OV:0
Tobias Rieder	AGE:29	PO:48	OV:0
Martin Frk	AGE:28	PO:46	OV:0
Miikka Salomaki	AGE:29	PO:41	OV:0
Andrew Shaw	AGE:30	PO:36	OV:0
Lucas Lessio	AGE:29	PO:33	OV:0
Marcus Kruger	AGE:32	PO:32	OV:0

Défense #1

Défense #2

Gardien

Owen Power (R)	AGE:19	PO:89	OV:0
Oliver Kylington	AGE:25	PO:79	OV:0
Filip Hronek	AGE:24	PO:76	OV:0
Esa Lindell	AGE:28	PO:65	OV:0
Josh Morrissey	AGE:27	PO:63	OV:0
Cam Fowler	AGE:30	PO:54	OV:0
Brendan Guhle	AGE:24	PO:53	OV:0

Ilya Lyubushkin	AGE:28	PO:49	OV:0
Julian Melchiori	AGE:30	PO:42	OV:0
Jeff Petry	AGE:34	PO:37	OV:0
Martin Marincin	AGE:30	PO:37	OV:0
Derek Meech	AGE:38	PO:17	OV:0
Dan Girardi	AGE:38	PO:1	OV:0

Stuart Skinner (R)	AGE:23	PO:82	OV:0
Petr Mrazek	AGE:30	PO:66	OV:0
Scott Darling	AGE:33	PO:53	OV:0
Chris Driedger	AGE:28	PO:50	OV:0

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Adam Ginning	Buffalo	17	73
Adam Ingram	Buffalo	21	129
Aidan Hreschuk	Buffalo	20	145
Albert Johansson	Buffalo	18	108
Anton Johansson	Buffalo	21	153
Artur Kayumov	Buffalo	15	84
Benjamin Roger	Buffalo	20	97
Brett Harrison	Buffalo	20	73
Callum Booth	Buffalo	14	151
Cameron Crotty	Buffalo	16	143
Chase Stillman	Buffalo	20	44
Corson Ceulemans	Buffalo	20	35
Cross Hanas	Buffalo	19	74
Daniel Torgersson	Buffalo	19	52
Evan Fitzpatrick	Buffalo	15	108
Henrik Borgstrom*	Buffalo	14	69
Jack Smith	Buffalo	19	146
Jakob Ragnarsson	Buffalo	17	97
Jakub Malek	Buffalo	20	119
Jakub Skarek	Buffalo	17	131
Jan Jenik	Buffalo	17	90
Jay O'Brien	Buffalo	17	49
Jayden Grubbe	Buffalo	20	58
Joel Blomqvist	Buffalo	19	71
Jonny Tychonick	Buffalo	17	64
Julius Honka	Buffalo	13	10
Kasper Kotkansalo	Buffalo	16	119
Lian Bichsel	Buffalo	21	33
Linus Lindstrom	Buffalo	15	156
Linus Nassen	Buffalo	15	132
Maxim Groshev	Buffalo	19	122
Michael DiPietro	Buffalo	16	107
Olivier Nadeau	Buffalo	20	76
Rieger Lorenz	Buffalo	21	81
Robert Mastrosimone	Buffalo	18	84
Tyler Boucher	Buffalo	20	25
Tyler Kleven	Buffalo	19	59
Will Cuylle	Buffalo	19	81
William Lockwood	Buffalo	15	111
Zachary L'Heureux	Buffalo	20	31

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
23
24
25
26

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Buffalo Historique de transactions

[2024-03-12 00:48:24] - TRADE : From Floride to Buffalo : Ilya Lyubushkin.
[2024-03-12 00:48:24] - TRADE : From Buffalo to Floride : Y:23-RND:5-BUF.
[2024-03-12 00:28:29] - TRADE : From Boston to Buffalo : Esa Lindell.
[2024-03-12 00:28:29] - TRADE : From Buffalo to Boston : Drew Doughty, Y:22-RND:5-BOS.
[2024-02-15 08:25:05] - TRADE : From San Jose to Buffalo : Jason Zucker.
[2023-12-21 02:22:30] - TRADE : From Buffalo to Boston : Zach Bogosian, Y:23-RND:1-BUF, Y:22-RND:3-ANA.
[2023-12-21 02:22:30] - TRADE : From Boston to Buffalo : Cam Fowler.
[2023-12-13 18:34:10] - Adrian Kempe was added to Buffalo.
[2023-12-13 18:34:10] - Buffalo claimed Adrian Kempe from waivers by Minnesota for $0.
[2023-12-13 18:17:16] - Buffalo show interest in Adrian Kempe from waiver.
[2023-12-11 19:59:47] - TRADE : From Buffalo to Pittsburgh : Vladimir Tarasenko.
[2023-10-19 08:25:15] - Marcus Kruger signed with Buffalo for 750 000 $ for 3 year(s).
[2023-10-19 08:25:15] - Marcus Kruger was added to Buffalo.
[2023-10-19 08:25:05] - Derek Meech signed with Buffalo for 750 000 $ for 3 year(s).
[2023-10-19 08:25:05] - Derek Meech was added to Buffalo.
[2023-10-07 21:08:41] - Brian Elliott was released.
[2023-10-07 21:08:41] - Buffalo paid 0 $ to release Brian Elliott.

[2024-04-27 08:15:03] Lucas Raymond from Rochester is back from Exhaustion.
[2024-04-27 08:15:03] Dakota Joshua from Rochester is back from Exhaustion.
[2024-04-27 08:08:27] Last 7 Days Farm Star : 1 - Josh Norris of Rochester (4-3-7) / 2 - Noah Gregor of San Jose (2-5-7) / 3 - Lucas Raymond of Rochester (4-4-8)
[2024-04-27 08:08:27] Dakota Joshua from Rochester is injured from Exhaustion.
[2024-04-27 08:08:27] Lucas Raymond from Rochester is injured from Exhaustion.
[2024-04-27 07:51:50] Stuart Skinner from Rochester is back from Exhaustion.
[2024-04-26 17:55:04] Stuart Skinner from Rochester injured (Exhaustion)
[2024-04-26 17:53:42] Auto Lines Partial Function has been run for Buffalo.
[2024-04-26 17:53:42] Buffalo lines errors : Normal line # 3 C is empty. OT Forward #9 is empty.
[2024-04-24 19:21:57] Last 7 Days Farm Star : 1 - Noah Gregor of San Jose (3-6-9) / 2 - Josh Norris of Rochester (4-2-6) / 3 - Mitchell Stephens of Rockford (3-4-7)
[2024-04-22 18:58:48] Auto Lines Partial Function has been run for Buffalo.
[2024-04-22 18:58:48] Buffalo lines errors : Normal line # 3 C is empty. OT Forward #9 is empty.
[2024-04-19 18:40:49] Pro Game #953 - Adrian Kempe from Buffalo has scored a Hat Trick!
[2024-04-19 18:40:46] Auto Lines Partial Function has been run for Buffalo.
[2024-04-19 18:40:46] Buffalo lines errors : Normal line # 3 C is empty. OT Forward #9 is empty.
[2024-04-15 17:09:19] Game 930 - Max Willman from Buffalo is injured (Sprained Right Ankle) and is out for 3 weeks.
[2024-04-10 19:24:23] Cam Fowler from Buffalo is back from Back Injury.
[2024-04-08 22:11:49] Successfully loaded Buffalo lines done with STHS Client - 3.3.9.9
[2024-04-08 22:11:49] Scott Darling of Buffalo was sent to farm.
[2024-04-08 22:11:49] Ilya Lyubushkin of Buffalo was sent down to farm.
[2024-04-08 22:11:49] Derek Meech of Buffalo was sent to pro.
[2024-04-05 19:25:22] Farm Game #859 - Josh Norris from Rochester has scored a Hat Trick!
[2024-04-05 19:22:59] Petr Mrazek from Buffalo is back from Exhaustion.
[2024-04-05 18:58:37] Successfully loaded Buffalo lines done with STHS Client - 3.3.9.9
[2024-04-05 18:58:37] Scott Darling of Buffalo was sent to pro.
[2024-04-05 18:58:37] Max Willman of Buffalo was sent to pro.
[2024-04-05 18:58:37] Ilya Lyubushkin of Buffalo was sent to pro.
[2024-04-03 18:52:52] Filip Chytil from Buffalo is back from Exhaustion.
[2024-04-03 18:52:52] Lucas Raymond of Buffalo was sent to farm.
[2024-04-03 18:52:52] Dakota Joshua of Buffalo was sent to farm.
[2024-04-03 18:52:52] Josh Norris of Buffalo was sent to farm.
[2024-04-03 18:52:52] Petr Mrazek from Buffalo injured (Exhaustion)
[2024-04-03 18:52:52] Game 884 - Cam Fowler from Buffalo is injured (Back) and is out for 1 week.
[2024-04-03 18:41:52] Auto Lines Partial Function has been run for Buffalo.
[2024-04-03 18:41:52] Auto Roster Partial Function has been run for Buffalo.
[2024-04-03 18:41:52] Dakota Joshua of Buffalo was sent to pro.
[2024-04-03 18:41:52] Josh Norris of Buffalo was sent to pro.
[2024-04-03 18:41:52] Lucas Raymond of Buffalo was sent to pro.
[2024-04-03 18:41:52] Buffalo roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-04-03 18:40:43] Jason Zucker from Buffalo is back from Right Knee Injury.
[2024-04-03 18:40:42] Filip Chytil from Buffalo is injured from Exhaustion.
[2024-04-03 18:40:42] Game 875 - Jason Zucker from Buffalo is injured (Right Knee) and is out for 5 days.

Max Willman est dehors pour 3 jours à cause de Sprained Right Ankle Injury.

Buffalo Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Josh Morrissey	246	67	149	216	15	143	188	284	584	11.47%	456	5748	23.37	34	38	72	313	0	3	3	3	7	9	0%	0	0.75	0	0
2	Filip Chytil	214	77	102	179	8	68	184	339	640	12.03%	15	4092	19.12	15	33	48	114	1	0	1	15	21	4	47.88%	1	0.87	4	13
3	Ryan Strome	246	73	81	154	2	172	493	324	536	13.62%	34	4350	17.69	11	29	40	92	2	2	4	6	9	6	38.47%	0	0.71	4	12
4	Lucas Raymond	224	67	84	151	14	72	246	216	657	10.20%	22	4277	19.10	18	23	41	118	2	0	2	8	8	1	40.50%	0	0.71	2	11
5	Filip Hronek	240	37	106	143	-36	333	500	241	391	9.46%	347	5139	21.41	19	33	52	211	0	0	0	3	4	0	0%	0	0.56	0	0

Buffalo Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Petr Mrazek	143	54	66	16	0.907	3.17	8340	8	5	440	4724	6	2	0.698	53
2	Chris Driedger	61	27	24	3	0.914	2.91	3428	6	0	166	1935	3	2	0.682	22
3	Stuart Skinner	30	10	14	4	0.888	4.25	1581	8	0	112	1004	2	0	0.667	6
4	Scott Darling	2	2	0	0	0.872	6.00	120	0	0	12	94	0	0	0	0

Buffalo Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison régulière
20	82	28	36	0	4	3	8	3	240	249	-9	41	17	14	0	3	1	5	1	123	112	11	41	11	22	0	1	2	3	2	117	137	-20	86	240	411	651	0	4	70	73	85	20	2339	736	752	825	65	2613	765	595	1397	277	50	18.05%	245	55	77.55%	2	1310	2777	47.17%	1412	2999	47.08%	591	1292	45.74%	1951	1360	1997	601	1043	516
21	82	26	42	0	5	4	0	5	235	288	-53	41	15	18	0	3	2	0	3	131	135	-4	41	11	24	0	2	2	0	2	104	153	-49	71	235	423	658	2	2	70	88	72	7	2669	929	817	884	58	2979	898	736	1457	286	56	19.58%	309	75	75.73%	3	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	1917	1320	2010	600	1038	519
21	82	26	42	0	5	4	0	5	235	288	-53	41	15	18	0	3	2	0	3	131	135	-4	41	11	24	0	2	2	0	2	104	153	-49	71	235	423	658	2	2	70	88	72	7	2669	929	817	884	58	2979	898	736	1457	286	56	19.58%	309	75	75.73%	3	1332	2945	45.23%	1560	3214	48.54%	659	1328	49.62%	1917	1320	2010	600	1038	519
Total Saison régulière	246	80	120	0	14	11	8	13	710	825	-115	123	47	50	0	9	5	5	7	385	382	3	123	33	70	0	5	6	3	6	325	443	-118	228	710	1257	1967	4	8	210	249	229	34	7677	2594	2386	2593	181	8571	2561	2067	4311	849	162	19.08%	863	205	76.25%	8	3974	8667	45.85%	4532	9427	48.07%	1909	3948	48.35%	5785	4002	6018	1802	3120	1555
Séries éliminatoires
20	4	0	4	0	0	0	0	0	2	12	-10	2	0	2	0	0	0	0	0	0	7	-7	2	0	2	0	0	0	0	0	2	5	-3	0	2	3	5	0	0	1	0	1	0	109	37	34	37	1	131	28	39	53	15	0	0.00%	12	4	66.67%	0	61	144	42.36%	66	154	42.86%	29	61	47.54%	96	66	93	29	52	25
Total Séries éliminatoires	4	0	4	0	0	0	0	0	2	12	-10	2	0	2	0	0	0	0	0	0	7	-7	2	0	2	0	0	0	0	0	2	5	-3	0	2	3	5	0	0	1	0	1	0	109	37	34	37	1	131	28	39	53	15	0	0.00%	12	4	66.67%	0	61	144	42.36%	66	154	42.86%	29	61	47.54%	96	66	93	29	52	25

Buffalo Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPS	FO%	P/20
1	Vladimir Tarasenko	4	1	0	1	-1	0	2	4	6	16.67%	0	74	18.57	3	20.00%	0.27
2	Ryan Strome	4	1	0	1	-1	9	8	2	15	6.67%	0	70	17.61	2	35.80%	0.28
3	Filip Hronek	4	0	1	1	0	12	1	0	0	0%	3	59	14.85	0	0%	0.34
4	Filip Chytil	4	0	1	1	-1	0	1	10	12	0%	0	74	18.57	1	46.67%	0.27
5	Oliver Kylington	4	0	1	1	-3	4	1	2	5	0%	4	75	18.99	1	0%	0.26

Buffalo Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Chris Driedger	4	0	3	1	0.908	2.98	242	0	0	12	131	0	0	0	0	0

	Buffalo
	GP: 82 \| W: 31 \| L: 42 \| OTL: 9 \| P: 71 GF: 235 \| GA: 288 \| PP%: 19.58% \| PK%: 75.73% DG: Yanick Morneau \| Morale : 50 \| Moyenne d’équipe : N/A